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Python, pandas group one dataframe by the results from another of different size

I have two dataframes, df_DD carries all my data, and df_GS carries the ranges of data that I want to break df_DD into. df_GS is much shorter than df_DD, I want to group all the df_DD by df_GS for when the ranges are equated.

Small range of df_GS

    From    To      DHID
0   69.0    88.5    CR22-200
1   88.5    90.0    CR22-200
2   90.0    99.0    CR22-200
3   99.0    100.5   CR22-200
4   100.5   112.5   CR22-200
5   112.5   114.0   CR22-200
6   114.0   165.0   CR22-200


for i in range(len(df_GS)):
    df_DD['Samples'].loc[(df_DD[From] >= df_GS[From].iloc[i]) & (df_DD[To] <= df_GS[To].iloc[i]) & (df_DD[DHID]==df_GS[DHID].iloc[i])] = i+1

Here is an output of df_DD

Samples From    To      DHID
0   1   69.0    70.5    CR22-200
1   1   70.5    72.0    CR22-200
2   1   72.0    73.5    CR22-200
3   1   73.5    75.0    CR22-200
4   1   75.0    76.5    CR22-200
5   1   76.5    78.0    CR22-200
6   1   78.0    79.5    CR22-200
7   1   79.5    81.0    CR22-200
8   1   81.0    82.5    CR22-200
9   1   82.5    84.0    CR22-200
10  1   84.0    85.5    CR22-200
11  1   85.5    87.0    CR22-200
12  1   87.0    88.5    CR22-200
13  2   88.5    90.0    CR22-200
14  3   90.0    91.5    CR22-200
15  3   91.5    93.0    CR22-200

The code above does what I want it to by creating a new column named Samples giving values a sample index, after which I can use the groupby function. But I wanted to know if there was a better way to do this cause it's quite cumbersome.



source https://stackoverflow.com/questions/71503736/python-pandas-group-one-dataframe-by-the-results-from-another-of-different-size

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